Teaching AI Ethics (TAIE)

Challenge

Decisions about the responsible design of artificial intelligence (AI) are often made by engineers with little training in the complex ethical considerations at play. Universities have struggled to find effective ways to integrate these issues into curricula for students in technical domains. In response, the Forum’s Global Future Council on Artificial Intelligence and Robotics has recommended creating a repository of actionable and useful materials for faculty who wish to add social inquiry and discourse into their AI coursework.

Creating AI without considering the potential ethical and human-centred implications creates liabilities for the evolution of social, economic and governance systems. In view of the magnitude of risk and the central role that AI will have in ordering societal infrastructure, those responsible must be taught from the beginning how to design for healthy outcomes. This includes awareness raising, for example, ranging from data integrity and cultivating transparency to understanding how technical decisions relate to civil, social and geopolitical outcomes.

Opportunity

Teaching AI Ethics (TAIE) aims to connect a global group of faculty who are teaching on the broad range of subjects pertaining to the design and application of artificial intelligence. The Forum is seeking to develop a community and repository of materials to help professors provide students with a critical awareness of how AI design decisions can influence social outcomes. At the heart, TAIE aims to create default standards for how AI is taught and thereby understood and perpetuated by future generations.

Objective

Faculty teaching on the social implications of AI are invited to share their materials, which will be placed in a Forum-hosted repository of curricula. This resource will guide those who have yet to develop learning materials on this topic. As professors new to the discipline develop their own curriculum, they will be encouraged to share these materials to foster collaboration.

As the community grows, members will be invited to participate in offline events geared towards community-building in AI education. The Forum hopes this platform will come to serve as a powerful mechanism for increasing knowledge and awareness about responsibly teaching AI.

                                                                                                                                                                                  

If you are a University Professor working in this field please fill out the survey below to receive an invitation to join TAIE. You will receive access to our live repository of curricula and to a Forum-run community platform where you will be able to communicate with others in the community.

TAIE: Introductory Survey

                                                                                                                                                                           

You may also see below for a public-facing set of sample curricula, which we will continue to curate from community submissions on an on-going basis.

TAIE: Public Curriculum

                                                                                                                                                                           

Should you have any additional questions, please contact the TAIE team at: aaina.agarwal@weforum.org

This Project is co-created by World Economic Forum and Illah Nourbakhsh, Professor of Robotics and Jennifer Keating, Assistant Dean for Educational Initiatives at Carnegie Mellon University.

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